This study examines the field of digital forensics as it relates to cryptocurrencies and the dark web, emphasizing the significance of blockchain technology, computers, and mobile phones in the creation and collection of evidence. Additionally, it explores the utilization of artificial intelligence and machine learning in dark web forensics.
The essay underscores the critical and urgent need for research in digital cryptocurrency forensics, explicitly focusing on cryptocurrencies such as Monero, Ethereum, Verge, and Dogecoin. It also exposes a significant gap in the current research related to the lack of host-based cryptocurrency forensics.
Cryptocurrency forensics primarily examines public blockchains through clustering algorithms and machine learning-based analysis. Its purpose is to identify anonymous entities and provide assistance in investigations.
The Elliptic Dataset is a valuable tool for academics in Bitcoin forensics and machine learning. It offers vast information based on blockchain technology, allowing for the study of graph-based methods in this area. As blockchain-based forensics research develops naturally with technical improvements, it presents a positive outlook for the future.
This progress encourages further exploration and development in the field, inviting academics and professionals to contribute to advancing blockchain-based forensics research.
